Search Results for author: Hugo Gon{\c{c}}alo Oliveira

Found 18 papers, 2 papers with code

Corpora and Baselines for Humour Recognition in Portuguese

no code implementations LREC 2020 Hugo Gon{\c{c}}alo Oliveira, Andr{\'e} Clem{\^e}ncio, Ana Alves

Having in mind the lack of work on the automatic recognition of verbal humour in Portuguese, a topic connected with fluency in a natural language, we describe the creation of three corpora, covering two styles of humour and four sources of non-humorous text, that may be used for related studies.

Widening the Discussion on ``False Friends'' in Multilingual Wordnets

no code implementations LREC 2020 Hugo Gon{\c{c}}alo Oliveira, Ana Lu{\'\i}s

There are wordnets in many languages, many aligned with Princeton WordNet, some of which in a (semi-)automatic process, but we rarely see actual discussions on the role of false friends in this process.

Translation

Contributions to Clinical Named Entity Recognition in Portuguese

1 code implementation WS 2019 F{\'a}bio Lopes, C{\'e}sar Teixeira, Hugo Gon{\c{c}}alo Oliveira

Having in mind that different languages might present different challenges, this paper presents the following contributions to the area of Information Extraction from clinical text, targeting the Portuguese language: a collection of 281 clinical texts in this language, with manually-annotated named entities; word embeddings trained in a larger collection of similar texts; results of using BiLSTM-CRF neural networks for named entity recognition on the annotated collection, including a comparison of using in-domain or out-of-domain word embeddings in this task.

named-entity-recognition Named Entity Recognition +1

Co-PoeTryMe: a Co-Creative Interface for the Composition of Poetry

no code implementations WS 2017 Hugo Gon{\c{c}}alo Oliveira, Tiago Mendes, Ana Boavida

Co-PoeTryMe is a web application for poetry composition, guided by the user, though with the help of automatic features, such as the generation of full (editable) drafts, as well as the acquisition of additional well-formed lines, or semantically-related words, possibly constrained by the number of syllables, rhyme, or polarity.

Text Generation

A Survey on Intelligent Poetry Generation: Languages, Features, Techniques, Reutilisation and Evaluation

no code implementations WS 2017 Hugo Gon{\c{c}}alo Oliveira

Poetry generation is becoming popular among researchers of Natural Language Generation, Computational Creativity and, broadly, Artificial Intelligence.

Text Generation

TweetMT: A Parallel Microblog Corpus

no code implementations LREC 2016 I{\~n}aki San Vicente, I{\~n}aki Alegr{\'\i}a, Cristina Espa{\~n}a-Bonet, Pablo Gamallo, Hugo Gon{\c{c}}alo Oliveira, Eva Mart{\'\i}nez Garcia, Antonio Toral, Arkaitz Zubiaga, Nora Aranberri

We introduce TweetMT, a parallel corpus of tweets in four language pairs that combine five languages (Spanish from/to Basque, Catalan, Galician and Portuguese), all of which have an official status in the Iberian Peninsula.

Machine Translation Translation

Can Topic Modelling benefit from Word Sense Information?

1 code implementation LREC 2016 Adriana Ferrugento, Hugo Gon{\c{c}}alo Oliveira, Ana Alves, Filipe Rodrigues

This paper proposes a new topic model that exploits word sense information in order to discover less redundant and more informative topics.

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